Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Huo, Shuning"'
Autor:
Ren, Qingyang, Jiang, Zilin, Cao, Jinghan, Li, Sijia, Li, Chiqu, Liu, Yiyang, Huo, Shuning, He, Tiange, Chen, Yuan
This survey explores the fairness of large language models (LLMs) in e-commerce, examining their progress, applications, and the challenges they face. LLMs have become pivotal in the e-commerce domain, offering innovative solutions and enhancing cust
Externí odkaz:
http://arxiv.org/abs/2405.13025
Autor:
Huo, Shuning
With the rapid development of modern high-throughput technologies, scientists can now collect high-dimensional complex data in different forms, such as medical images, genomics measurements. However, acquisition of more data does not automatically le
Externí odkaz:
http://hdl.handle.net/10919/101037
In addressing the computational and memory demands of fine-tuning Large Language Models(LLMs), we propose LoRA-SP(Streamlined Partial Parameter Adaptation), a novel approach utilizing randomized half-selective parameter freezing within the Low-Rank A
Externí odkaz:
http://arxiv.org/abs/2403.08822
In recent years, advancements in natural language processing (NLP) have been fueled by deep learning techniques, particularly through the utilization of powerful computing resources like GPUs and TPUs. Models such as BERT and GPT-3, trained on vast a
Externí odkaz:
http://arxiv.org/abs/2402.16038
In recent years, the expansion of internet technology and advancements in automation have brought significant attention to autonomous driving technology. Major automobile manufacturers, including Volvo, Mercedes-Benz, and Tesla, have progressively in
Externí odkaz:
http://arxiv.org/abs/2402.16036
With the rapid development of artificial intelligence technology, Transformer structural pre-training model has become an important tool for large language model (LLM) tasks. In the field of e-commerce, these models are especially widely used, from t
Externí odkaz:
http://arxiv.org/abs/2402.16035
Anomaly detection is a critical challenge across various research domains, aiming to identify instances that deviate from normal data distributions. This paper explores the application of Generative Adversarial Networks (GANs) in fraud detection, com
Externí odkaz:
http://arxiv.org/abs/2402.09830
In the age of the Internet, people's lives are increasingly dependent on today's network technology. Maintaining network integrity and protecting the legitimate interests of users is at the heart of network construction. Threat detection is an import
Externí odkaz:
http://arxiv.org/abs/2402.09820
Akademický článek
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Autor:
Lu, Joan, Davidrajuh, Reggie, Wu, Yichao, Xiang, Yafei, Huo, Shuning, Gong, Yulu, Liang, Penghao
Publikováno v:
Proceedings of SPIE; June 2024, Vol. 13171 Issue: 1 p131711Z-131711Z-9, 1185409p